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mkhraijah · Dec 9, 2022 · 6c4ddf2 · 6c4ddf2 · mkhraijah · Dec 9, 2022
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diff --git a/docs/src/data_structure.md b/docs/src/data_structure.md
@@ -48,7 +48,7 @@ To calculate the objective function of the central algorithm use `calc_dist_gen_
 calc_dist_gen_cost
 ```
 
-To compare the distributed algorithm objective function value with the central OPF, use `compare_solution` to get the absolute value of the relative error. 
+To compare the distributed algorithm objective function value with the central OPF, use `compare_solution` to get the absolute value of the relative error.
 
 ```@docs
 compare_solution

diff --git a/docs/src/index.md b/docs/src/index.md
@@ -12,7 +12,7 @@ CurrentModule = PowerModelsADA
 
 The `PowerModelsADA` framework is designed to easily incorporate new alternating distributed algorithms. The framework provides means to decompose a test case into multiple areas, model the subproblems associated with each area using `PowerModels`, solve the supropblems in parallel using multi-threading, communicate the shared data between the areas, and calculate the mismatches to decide if the termination criteria are satisfied.
 
-The current version of `PowerModelsADA` implements four distributed algorithms: 
+The current version of `PowerModelsADA` implements four distributed algorithms:
 
 - Alternating Direction Method of Multipliers (ADMM)
 - Analytical Target Cascading (ATC)

diff --git a/docs/src/newalgorithm.md b/docs/src/newalgorithm.md
@@ -87,7 +87,7 @@ end
 _var
 ```
 
-The last function is to update the area dictionary after communicating the shared variables results with other areas. 
+The last function is to update the area dictionary after communicating the shared variables results with other areas.
 
 ```julia
 "update the xx algorithm before each iteration"